Mar 29, 2024  
2021-2022 General Catalog 
    
2021-2022 General Catalog ARCHIVED CATALOG: To search archives, MUST use search box to left. Current catalog: catalog.usu.edu.

Course Numbers and Descriptions


Course fees may apply. Please review Banner Registration information for details.

 

Computer Science

  
  • CS 5820 - Data Science - Data Visualization


    3 credits

    This course introduces key design principles and techniques for interactively visualizing data. Students learn how visual representations help in the analysis and understanding of complex data, how to design effective visualizations, and how to create interactive visualizations using modern web-based frameworks. Additional coursework is required for those enrolled in the graduate-level course.

    Prerequisite/Restriction:
    • 2.0 GPA 
    • CS 2420  with a grade of C- or better
    • Not available to pre-Computer Science majors


    Cross-listed as: CS 6820  

    This listing includes updates which are effective beginning Summer 2021.
  
  • CS 5830 - Data Science Incubator


    3 credits

    In this project-based course, students from multiple disciplines work in teams to analyze data from real-world projects. Project teams group technical students from CS with domain experts from outside of CS to analyze data using state-of-the-art data science tools and techniques. Additional coursework is required for those enrolled in the graduate-level course.

    Prerequisite/Restriction:

     

     

    Cross-listed as: CS 6830  

    This listing includes updates which are effective beginning Summer 2021.

  
  • CS 5890 - Topics in Computer Science


    1-4 credits

    Current topics in computer science as determined by advances in the field.

    Prerequisite/Restriction: 2.0 GPA; grade of C- or better in CS 2420  and instructor permission Not available to pre-Computer Science majors

    Repeatable for credit.
  
  • CS 5950 - Independent Study


    3 credits

    Provides for independent study of selected topics.

    Prerequisite/Restriction: 2.0 GPA; grade of C- or better in CS 2420  and instructor permission Not available to pre-Computer Science majors

    Repeatable for credit.
  
  • CS 6030 - High Performance Computing


    4 credits

    This course introduces high-performance computing, leveraging parallel computing power to solve complex computational problems faster using clusters and supercomputers. Students learn the main programming models, optimized coding for modern multi-core processors, clusters, and modern computing architecture. This is a TEAMWORK course. Additional coursework is required for those enrolled in the graduate-level course.

    Prerequisite/Restriction:  

    Enrollment in one of the following programs, or instructor permission:

    • MCS (Master of Computer Science) 
    • MS in Computer Science
    • MS in Data Science
    • PhD in Computer Science


    Cross-listed as: CS 5030  

    This listing includes updates which are effective beginning Spring 2022.

  
  • CS 6040 - Scientific Visualization


    3 credits

    This course introduces principles, methods and techniques for visual analysis of scientific data. Students create visualization of scalar, vector and tensor field data using state-of-the-art techniques. They acquire hands-on experience using visualization software on real science and engineering use cases. Additional coursework is required for those enrolled in the graduate-level course.

    Prerequisite/Restriction: Enrollment in one of the following programs, or instructor permission:

    • MCS (Master of Computer Science)
    • MS in Computer Science
    • MS in Data Science
    • PhD in Computer Science 


    Cross-listed as: CS 5040  

    This listing includes updates which are effective beginning Summer 2021.
  
  • CS 6050 - Computational Geometry: Algorithms and Applications


    3 credits

    This course presents algorithms and data structures of computational geometry. Students learn algorithm design techniques for solving geometric problems as well as their applications in data processing, computer graphics, robotics, computer-aided design, and many others. CS 6050 and CS 7050  are cross listed, but CS 7050  requires additional work.

    Prerequisite/Restriction:  

    Enrollment in one of the following programs, or instructor permission:

    • MCS (Master of Computer Science)
    • MS in Computer Science
    • MS in Data Science
    • PhD in Computer Science


    Cross-listed as: CS 7050  

    This listing includes updates which are effective beginning Summer 2021.

  
  • CS 6080 - Time Series Data Mining


    3 credits

    This course examines state-of-the-art research on time series (TS) data mining. It includes the applications of TS data in finance, medicine and numerous fields in science and engineering. Topics covered include data representation, anomaly detection, similarity search, classification, visualization of TS, etc. Additional coursework is required for those enrolled in the graduate-level course.

    Prerequisite/Restriction: Enrollment in one of the following programs, or instructor permission:

    • MCS (Master of Computer Science) 
    • MS in Computer Science 
    • MS in Data Science
    • PhD in Computer Science


    Cross-listed as: CS 5080  

    This listing includes updates which are effective beginning Fall 2021.
  
  • CS 6110 - MultiAgent Systems


    4 credits

    This course introduces software systems that are both autonomous and social, engaging in cooperation, coordination, and negotiation. Students study coalitions, auctions, game theory, voting systems, and types of agents. This is a TEAMWORK course. Additional coursework is required for those enrolled in the graduate-level course.

    Prerequisite/Restriction:  

    Enrollment in one of the following programs, or instructor permission:

    • MCS (Master of Computer Science)
    • MS in Computer Science
    • MS in Data Science
    • PhD in Computer Science


    Cross-listed as: CS 5110  

    This listing includes updates which are effective beginning Spring 2022.

  
  • CS 6210 - Advanced Distributed System Design


    3 credits

    CS 6210 is the second in a two-course series on the design and implementation of distributed software systems. Its prerequisite, CS 5200 , introduces fundamental design issues, common inter-process communication techniques, time and coordination, replication, and concurrency controls. CS 6210 will build on this foundation and cover the following topics: models of computation, global state, time, name and directory services, cloud computing, distributed file systems, MapReduce, distributed mutual exclusion and election, distributed transactions, currency control, and replication.

    Prerequisite/Restriction: Grade of B- or better in CS 5200  and enrollment in Computer Science master’s or PhD program

  
  • CS 6250 - Cooperative Work Experience, Graduate


    1-9 credits

    Provides credit for students working at a participating firm under faculty supervision.

    Prerequisite/Restriction: 3.0 GPA; instructor permission and enrollment in Computer Science master’s or PhD program

    Repeatable for credit.
    Pass/Fail only.
  
  • CS 6300 - Supercompilers for Sequential and Parallel Computers


    3 credits

    Analysis and optimization for sequential and parallel computers, including loop restructuring, concurrency analysis, vector analysis, and optimizations for shared and distributed memory computers.

    Prerequisite/Restriction: 3.0 GPA; grade of B- or better in CS 5300  and enrollment in Computer Science master’s or PhD program

  
  • CS 6400 - Computer Graphics II


    3 credits

    Study of computer rendering of three-dimensional objects. Object representation, hidden surface removal, and shading. Ray tracing of synthetic scenes using mathematically defined surfaces.

    Prerequisite/Restriction: 3.0 GPA; grade of B- or better in CS 5400  and enrollment in Computer Science master’s or PhD program

  
  • CS 6450 - Human-Centered Design


    3 credits

    This course is a design practicum wherein student teams complete a human-centered design project.  In-class and out-of-class activities teach students how to establish user needs, derive design ideas, create iterative prototypes, test those prototypes with users, and report results.

    Prerequisite/Restriction:  

    Enrollment one of the following programs, or instructor permission:

    • MCS (Master of Computer Science)
    • MS in Computer Science
    • MS in Data Science
    • PhD in Computer Science


    This listing includes updates which are effective beginning Summer 2021.

  
  • CS 6460 - Usable Privacy and Security


    3 credits

    This course addresses human factors of privacy and security, with emphasis on user’s privacy perceptions, security behavior, and designing and building secure systems with a human-centric focus. Students apply basic principles of human-computer interaction in designing secure and privacy-protective systems.

    Prerequisite/Restriction:  

    Enrollment in one of the following programs, or instructor permission:

    • MCS (Master of Computer Science)
    • MS in Computer Science
    • MS in Data Science
    • PhD in Computer Science


    This listing includes updates which are effective beginning Summer 2021.

  
  • CS 6510 - Robot Intelligence


    4 credits

    Students explore the field of robotics through the lens of decision-making algorithms. They examine critical aspects of autonomous systems from a machine learning and data science perspective, with emphasis on sensing, high-level objective planning, motion planning, and human interaction. This is a TEAMWORK course. Additional coursework is required for those enrolled in the graduate-level course.

    Prerequisite/Restriction:  

    Enrollment in one of the following programs, or instructor permission:

    • MCS (Master of Computer Science)
    • MS in Computer Science
    • MS in Data Science
    • PhD in Computer Science


    Cross-listed as: CS 5510  

    This listing includes updates which are effective beginning Spring 2022.

  
  • CS 6550 - Parallel Computing Systems


    3 credits

    Design of large-scale parallel systems. Explores machine organizations SIMD and/or MIMD modes of parallelism, emphasizing interconnection patterns among processors. Discussion of low-level parallel processing algorithms. Presents case studies of existing and proposed systems.

    Prerequisite/Restriction: 3.0 GPA; grade of B- or better in CS 5500  and enrollment in Computer Science master’s or PhD program

  
  • CS 6600 - Intelligent Systems


    4 credits

    This course examines the three main areas of AI: data-driven intelligence, natural language processing (NLP), and planning. Students learn models from big data, investigate systems that understand/generate natural language, and study problem-solving models in domains such as robot navigation and symbolic mathematics. Additional coursework is required for those enrolled in the graduate-level course.

    Prerequisite/Restriction:  

    Enrollment in one of the following programs, or instructor permission:

    • MCS (Master of Computer Science)
    • MS in Computer Science
    • MS in Data Science
    • PhD in Computer Science


    Cross-listed as: CS 5600  

    This listing includes updates which are effective beginning Summer 2021.

  
  • CS 6620 - Artificial Intelligence in Clean Energy


    3 credits

    This course examines the need to transition the world’s economy to low-carbon sources and explores how artificial intelligence is enabling and optimizing this transition. Each student completes a project applying artificial intelligence methods to a specific clean energy problem. Additional coursework is required for those enrolled in the graduate-level course.

    Prerequisite/Restriction:  

    Enrollment in one of the following programs, or instructor permission:

    • MCS (Master of Computer Science)
    • MS in Computer Science
    • MS in Data Science 
    • PhD in Computer Science


    Cross-listed as: CS 5620  

    This listing includes updates which are effective beginning Summer 2021.

  
  • CS 6630 - Fuzzy Logic and its Application


    3 credits

    This course introduces students to machine learning and problem solving techniques based on fuzzy logic.

    Prerequisite/Restriction:  

    Enrollment in one of the following programs, or instructor permission:

    • MCS (Master of Computer Science)
    • MS in Computer Science
    • MS in Data Science
    • PhD in Computer Science


    This listing includes updates which are effective beginning Summer 2021.

  
  • CS 6640 - Reinforcement Learning Applications


    3 credits

    This course explores the influence of reinforcement learning in constructing software systems that learn from external environment interaction. The course reviews reinforcement learning foundations and advanced techniques. Students work on a practical project in applications or advancing methodology. Additional coursework is required for those enrolled in the graduate-level course.

    Prerequisite/Restriction:  

    Enrollment in one of the following programs, or instructor permission:

    • MCS (Master of Computer Science)
    • MS in Computer Science
    • MS in Data Science
    • PhD in Computer Science program


    Cross-listed as: CS 5640  

    This listing includes updates which are effective beginning Summer 2021.

  
  • CS 6650 - Neural Networks


    3 credits

    This advanced course covers theories and techniques of machine intelligence using neural networks. It emphasizes various neural network paradigms and the types of problems they are best suited to solve.

    Prerequisite/Restriction:  

    Enrollment in one of the following programs, or instructor permission:

    • MCS (Master of Computer Science)
    • MS in Computer Science
    • MS in Data Science
    • PhD in Computer Science


    This listing includes updates which are effective beginning Summer 2021.

  
  • CS 6665 - Data Mining


    3 credits

    This course covers recent advances in machine learning and intelligent information retrieval. It focuses on how these topics relate to and are applied in data mining.

    Prerequisite/Restriction:  

    Enrollment in one of the following programs, or instructor permission:

    • MCS (Master of Computer Science)
    • MS in Computer Science
    • MS in Data Science
    • PhD in Computer Science


    This listing includes updates which are effective beginning Summer 2021.

  
  • CS 6670 - Advanced Bioinformatics


    3 credits

    This course focuses on the various advanced algorithms and models used in bioinformatics applications. Opportunities and needs for improvement of such algorithms are discussed in the context of current and future problems in bioinformatics.

    Prerequisite/Restriction:  

    Enrollment in one of the following programs, or instructor permission:

    • MCS (Master of Computer Science)
    • MS in Computer Science
    • MS in Data Science
    • PhD in Computer Science


    This listing includes updates which are effective beginning Summer 2021.

  
  • CS 6675 - Advanced Data Mining


    3 credits

    This course provides a deep dive into advanced topics in data mining, data analysis, and pattern recognition. The course explores high-dimensional data, graph and temporal data, frequent patterns, and current trends and ethical issues of data mining. Additional work is required for CS 7675 .

    Prerequisite/Restriction: One of the following:



    Cross-listed as: CS 7675  

    This listing includes updates which are effective beginning Summer 2021.
  
  • CS 6680 - Computer Vision: Foundations and Applications


    3 credits

    This course provides an introduction to theories and techniques of machine intelligence, with emphasis on image processing, pattern recognition, and computer vision. Additional coursework is required for those enrolled in the graduate-level course.

    Prerequisite/Restriction: Enrollment in one of the following programs, or instructor permission:

    • MCS (Master of Computer Science) 
    • MS in Computer Science
    • MS in Data Science
    • PhD in Computer Science


    Cross-listed as: CS 5680  

    This listing includes updates which are effective beginning Summer 2021.
  
  • CS 6685 - Deep Learning Theory and Applications


    3 credits

    This course takes a principled and hands-on approach to deep learning with neural networks, covering machine learning basics, backpropagation, stochastic gradient descent, regularization and universality. Feedforward, convolutional, generative adversarial, and recurrent networks are discussed, as well as autoencoders, other modern architectures, and training techniques.

    Prerequisite/Restriction:

     

    Cross-listed as: STAT 6685  

    This listing includes updates which are effective beginning Spring 2021.

  
  • CS 6700 - Object-Oriented Models, Methods, and Tools


    3 credits

    Study of object-oriented concepts, principles, techniques, development processes, and tools across all areas of software engineering, with special emphasis on current research topics.

    Prerequisite/Restriction: 3.0 GPA; grade of B- or better in CS 5700  and enrollment in Computer Science master’s or PhD program

  
  • CS 6800 - Advanced Database Systems


    3 credits

    Covers advanced topics in database systems, including XML, OODBMS, query optimization, query processing, deductive databases, concurrency, theory of relational databases, normalization, and recovery.

    Prerequisite/Restriction: 3.0 GPA; grade of B- or better in CS 5800  and enrollment in Computer Science master’s or PhD program

  
  • CS 6810 - Wavelets and Wavelet Algorithms


    3 credits

    This course offers a hands-on, programmatic introduction to the nature and computation of wavelets for the analysis and synthesis of digital image and audio data. The course emphasizes the practical significance of wavelet algorithms in computer vision and audio analysis and encourages provocative questions, discussions, and creative thinking. CS 6810 and CS 7810  are cross listed, but CS 7810  requires additional work.

    Prerequisite/Restriction: Enrollment in one of the following programs, or instructor permission:

    • MCS (Master of Computer Science)
    • MS in Computer Science
    • MS in Data Science
    • PhD in Computer Science


    Cross-listed as:  

    CS 7810  

    This listing includes updates which are effective beginning Summer 2021.

  
  • CS 6820 - Data Science - Data Visualization


    3 credits

    This course introduces key design principles and techniques for interactively visualizing data. Students learn how visual representations help in the analysis and understanding of complex data, how to design effective visualizations, and how to create interactive visualizations using modern web-based frameworks. Additional coursework is required for those enrolled in the graduate-level course.

    Prerequisite/Restriction: Enrollment one of the following programs, or instructor permission:

    • MCS (Master of Computer Science)
    • MS in Computer Science
    • MS in Data Science
    • PhD in Computer Science


    Cross-listed as: CS 5820  

    This listing includes updates which are effective beginning Summer 2021.
  
  • CS 6830 - Data Science Incubator


    3 credits

    In this project-based course, students from multiple disciplines work in teams to analyze data from real-world projects. Project teams group technical students from CS with domain experts from outside of CS to analyze data using state-of-the-art data science tools and techniques. Additional coursework is required for those enrolled in the graduate-level course.

    Prerequisite/Restriction: Enrollment in one of the following programs, or instructor permission:

    • MCS (Master of Computer Science)
    • MS in Computer Science
    • MS in Data Science
    • PhD in Computer Science


    Cross-listed as: CS 5830  

    This listing includes updates which are effective beginning Summer 2021.
  
  • CS 6890 - Topics in Computer Science (Topic)


    1-4 credits

    This course explores current topics in computer science as determined by advances in the field.

    Prerequisite/Restriction: Enrollment in one of the following programs, or instructor permission:

    • MCS (Master of Computer Science)
    • MS in Computer Science
    • MS in Data Science
    • PhD in Computer Science


    Repeatable for credit.
    This listing includes updates which are effective beginning Summer 2021
  
  • CS 6900 - Seminar


    1 credit

    Series of one-hour seminars on current research topics presented by computer science faculty.

    Prerequisite/Restriction: 3.0 GPA; instructor permission and enrollment in Computer Science master’s or PhD program

    Pass/Fail only.
  
  • CS 6950 - Directed Readings in Computer Science


    3 credits

    Directed reading on advanced topics in computer science.

    Prerequisite/Restriction: 3.0 GPA; instructor permission and enrollment in Computer Science master’s or PhD program

    Repeatable for credit.
  
  • CS 6970 - Thesis and Research


    1-9 credits

    Graduate research in computer science.

    Prerequisite/Restriction: 3.0 GPA; instructor permission and enrollment in Computer Science master’s or PhD program

    Repeatable for credit.
    Pass/Fail only.
  
  • CS 6990 - Continuing Graduate Advisement


    1-6 credits

    This course provides graduate students with continued advisement. It is usually taken following completion of all coursework required for the degree.

    Prerequisite/Restriction: 3.0 GPA; instructor permission and enrollment in Computer Science master’s or PhD program

    Repeatable for credit.
    Pass/Fail only.
    This listing includes updates which are effective beginning Summer 2021.
  
  • CS 7050 - Computational Geometry: Algorithms and Applications


    3 credits

    his course presents algorithms and data structures of computational geometry. Students learn algorithm design techniques for solving geometric problems as well as their applications in data processing, computer graphics, robotics, computer-aided design, and many others. CS 6050  and CS 7050 are cross listed, but CS 7050 requires additional work.

    Prerequisite/Restriction: Enrollment in a PhD Computer Science program or instructor permission

    Cross-listed as: CS 6050  

    This listing includes updates which are effective beginning Summer 2021.
  
  • CS 7110 - Advanced MultiAgent Systems


    3 credits

    Advanced topics in multiAgent systems, including algorithms for finding solutions, social welfare with preferences and utilities, multiAgent learning, and distributed search problems.

    Prerequisite/Restriction: 3.0 GPA; grade of B- or better in CS 6110   (or instructor permission) and enrollment in Computer Science Master or PhD program

  
  • CS 7150 - Computational Complexity


    3 credits

    Focuses on central concepts in theoretical computer science, including NP-hardness, reductions, approximation algorithms, and fixed parameter algorithms. Samples modern algorithmic topics such as streaming, online, randomized, probabilistic, distributed, and quantum computations. Studies hard computational problems in both combinatorial and geometric settings.

    Prerequisite/Restriction: Enrollment is Computer Science MPhD program; or one of the following: B+ or greater in CS 5050 , A- or greater in CS 2420 , or instructor permission

  
  • CS 7380 - Software Testing


    3 credits

    Explores current issues, including testing object-oriented software, test data generation and sufficiency, domain-based testing, functional testing, and code-based testing.

    Prerequisite/Restriction: 3.0 GPA; instructor permission and enrollment in Computer Science master’s or PhD program

  
  • CS 7460 - Advances in Computer Security Research


    3 credits

    Covers recent research directions in computer security. Reviews current state of the field, and explores possible research directions for further work.

    Prerequisite/Restriction: CS 6460  or instructor permission

  
  • CS 7650 - Advanced CVP RIP: Computer Vision, Pattern Recognition and Image Processing


    3 credits

    Investigates new developments in representation and processing of gray-level and color images, including thresholding, segmentation, curve detection, etc. Also examines visual perception, as well as statistical and syntactical pattern classification.

    Prerequisite/Restriction: 3.0 GPA; instructor permission and enrollment in Computer Science master’s or PhD program

  
  • CS 7675 - Advanced Data Mining


    3 credits

    This course provides a deep dive into advanced topics in data mining, data analysis, and pattern recognition. The course explores high-dimensional data, graph and temporal data, frequent patterns, and current trends and ethical issues of data mining. Additional work is required for CS 7675.

    Prerequisite/Restriction: One of the following:



    Cross-listed as: CS 6675  

    This listing includes updates which are effective beginning Summer 2021.
  
  • CS 7680 - Advanced Computer Vision


    3 credits

    Emphasizes current topics and research in the general area of computer vision. Focuses on detection, recognition, tracking, and analysis of human activity by using computer vision.

    Prerequisite/Restriction: 3.0 GPA; grade of B- or better in CS 5650  and enrollment in Computer Science master’s or PhD program

  
  • CS 7810 - Wavelets and Wavelet Algorithms


    3 credits

    This course offers a hands-on, programmatic introduction to the nature and computation of wavelets for the analysis and synthesis of digital image and audio data. The course emphasizes the practical significance of wavelet algorithms in computer vision and audio analysis and encourages provocative questions, discussions, and creative thinking. CS 6810 and CS 7810 are cross listed, but CS 7810 requires additional work.

    Prerequisite/Restriction:  

    Enrollment in a PhD Computer Science program, or instructor permission

    Cross-listed as: CS 6810 

    This listing includes updates which are effective beginning Summer 2021.

  
  • CS 7820 - Speech and Language Processing


    3 credits

    General introduction to neuro-linguistic programming (NLP), with an emphasis on computationally effective techniques to solve practical problems in spellchecking, text analysis, speech recognition, and natural language communication with autonomous agents.

    Prerequisite/Restriction: Enrollment in CS Master’s or PhD program, or instructor permission

  
  • CS 7890 - Advanced Topics in Computer Science


    3 credits

    This course consists of current topics in computer science as determined by advances in the field.

    Prerequisite/Restriction:  

    • 3.0 GPA
    • Instructor permission
    • Enrollment in the Computer Science Master’s or PhD programs


    Repeatable
  
  • CS 7900 - Seminar


    2 credits

    Series of lectures and presentations on current topics in computer science. Students participate by giving presentations. As part of the course, students are expected to prepare their dissertation proposal.

    Prerequisite/Restriction: 3.0 GPA; instructor permission and enrollment in Computer Science master’s or PhD program

    Pass/Fail only.
  
  • CS 7950 - Reading and Reports


    3 credits

    Directed reading on cutting-edge topics in computer science.

    Prerequisite/Restriction: 3.0 GPA; instructor permission and enrollment in Computer Science master’s or PhD program

    Repeatable for credit.
  
  • CS 7970 - Dissertation Research


    1-15 credits

    PhD dissertation research.

    Prerequisite/Restriction: 3.0 GPA; instructor permission and enrollment in Computer Science master’s or PhD program

    Repeatable for credit.
    Pass/Fail only.
  
  • CS 7990 - Continuing Graduate Advisement


    1-6 credits

    Continuing PhD-level advisement.

    Prerequisite/Restriction: Prerequisites: 3.0 GPA; Instructor permission and enrollment in Computer Science master’s or PhD program

    Repeatable for credit.
    Pass/Fail only.

Cosmetology / Barbering (USU Eastern)

  
  • COST 1100 - Cosmetology Theory I


    5 credits

    Covers bacteriology, decontamination and infection control, permanent waving, chemical hair relaxing, hair cutting and hair lightening. Emphasis on new technology and product knowledge from industry.

    Campus: USU Eastern only



  
  • COST 1110 - Cosmetology Lab I


    10 credits

    Lab instruction and practical application. Teaches shampooing, scalp treatments, manicuring, hair cutting, hair dressing, tinting and bleaching, and facials.

    Campus: USU Eastern only



  
  • COST 1200 - Cosmetology Theory II


    5 credits

    Covers hair coloring, skin and disorders, chemistry, properties of scalp and hair, wet and thermal hair styling.

    Campus: USU Eastern only



  
  • COST 1210 - Cosmetology Lab II


    10 credits

    Lab instruction and practical application teaches shampooing, scalp treatments, manicuring, hair cutting, hair dressing, tinting and bleaching, and facials.

    Campus: USU Eastern only



  
  • COST 1300 - Introduction to Barbering


    5 credits

    Barbering is the art and science of cutting and styling hair, as well as the designing of beards and mustaches.  Students receive this preparation while practicing in a salon experience.  Students are also prepared in theory classes.  Students will practice men’s and women’s cutting and styling, shaving, chemistry and anatomy, with an emphasis on safety, sanitation and professionalism.

  
  • COST 1310 - Introduction to Barbering Lab


    10 credits

    Barbering is the art and science of cutting and styling hair, as well as the designing of beards and mustaches.  Students receive this preparation while practicing in a salon experience.  Students are also prepared in theory classes. Students will practice men’s and women’s cutting and styling, shaving, chemistry and anatomy, with an emphasis on safety, sanitation and professionalism.

  
  • COST 1400 - Intermediate Barbering


    5 credits

    Barbering is the art and science of cutting and styling hair, as well as the designing of beards and mustaches.  Students receive this preparation while practicing in a salon experience.  Students are also prepared in theory classes. Students will practice men’s and women’s cutting and styling, shaving, chemistry and anatomy, with an emphasis on safety, sanitation and professionalism.

  
  • COST 1410 - Intermediate Barbering Lab


    10 credits

    Barbering is the art and science of cutting and styling hair, as well as the designing of beards and mustaches.  Students receive this preparation while practicing in a salon experience.  Students are also prepared in theory classes. Students will practice men’s and women’s cutting and styling, shaving, chemistry and anatomy, with an emphasis on safety, sanitation and professionalism.

  
  • COST 1500 - Professional Vocational Leadership (VICA)


    1 credit

    Supports and facilitates the goals and objectives of Vocational Industrial Clubs of America (VICA). Students will gain skills in the following areas: personal development, service, team building and leadership, workplace skills, and interview skills. Students may participate in regional, state and national competitions.

    Repeatable for credit
    Campus: USU Eastern only



  
  • COST 2300 - Intermediate Cosmetology Theory I


    5 credits

    Covers salon business, electricity and light therapy, nails and disorders, manicuring, pedicuring.

    Campus: USU Eastern only



  
  • COST 2310 - Intermediate Cosmetology Lab I


    10 credits

    Lab instruction and practical application teaches shampooing, scalp treatments, manicuring, hair cutting, hair-dressing, tinting and bleaching, and facials.

    Campus: USU Eastern only



  
  • COST 2400 - Intermediate Cosmetology Theory


    5 credits

    Covers theory of massage, facials, facial make-up and barbering. Lecture classes for State Board. (Review of previous theory classes).

    Campus: USU Eastern only



  
  • COST 2410 - Intermediate Cosmetology Lab


    10 credits

    Lab instruction and practical application teaches shampooing, scalp treatments, manicuring, hair cutting, hair-dressing, tinting and bleaching, facials.

    Campus: USU Eastern only



  
  • COST 2500 - Advanced Cosmetology Theory


    5 credits

    Covers lecture for State Board (review for State License). Advanced techniques. Designed for students who have not completed required hours for State Licensing.

    Repeatable for credit
    Campus: USU Eastern only



  
  • COST 2510 - Advanced Cosmetology Lab


    5-10 credits

    Lab instruction and practical application prepares shampooing, scalp treatments, manicuring, hair cutting, hair-dressing, tinting and bleaching, and facials.

    Campus: USU Eastern only



  
  • COST 2700 - Student Instructor


    15 credits

    Prepares student for State Board Examinations and includes experience in teaching theory and lab. State Law requires 1000 clock hours for licensing.

    Prerequisite/Restriction: Instructor permission

    Campus: USU Eastern only



  
  • COST 2800 - Nail Technician


    9 credits

    Designed to educate students with the knowledge, skills and abilities to practice manicuring, pedicuring and nail enhancements. The 300 hours of instruction prepares the student to meet requirements for taking the state licensing examination.

    Campus: USU Eastern only



  
  • COST 2988 - Special Problems


    1-3 credits

    Designed as adjustable credit hours contingent on needed clock hours (to meet State Law requirement of 2000 clock hours).

    Repeatable for credit
    Campus: USU Eastern only




Criminal Justice

  
  • CJ 1010 - Introduction to Criminal Justice (BSS)


    BSS Breadth Social Sciences
    3 credits

    This course provides an overview of the criminal justice system. The three pillars of the criminal justice system (police, courts, and corrections) are covered. Theory and research of crime is covered as well.

    This listing includes updates which are effective beginning Summer 2021.
  
  • CJ 1030 - Introduction to Firearms Handling/Safety


    3 credits

    This course is designed as an introductory program for students interested in shooting, hunting, home safety, or personal protection. The course teaches students safety skills and firearm care while providing an opportunity to practice on a firing range.

    Campus: USU Eastern only



  
  • CJ 1300 - Introduction to Corrections


    3 credits

    This course examines the history of corrections in America. Emphasis is placed on the philosophies of punishment, sentencing strategies, prison community, alternatives to incarceration, and various reform efforts. Students learn to understand the evolution and administration of corrections today.

    This listing includes updates which are effective beginning Summer 2021.
  
  • CJ 1330 - Criminal Law


    3 credits

    This course covers the nature of criminal liability in the United States criminal justice system. The elements of crimes and defenses are covered, as well as the general elements of criminality and the purposes of those elements.

    This listing includes updates which are effective beginning Summer 2021.
  
  • CJ 1340 - Criminal Investigations


    3 credits

    This course introduces students to legal, scientific, and administrative aspects of the criminal investigation process. Students learn to deal with potential obstacles encountered in the investigation process. The course objective is to acquaint students with the fundamentals of criminal investigations.

    This listing includes updates which are effective beginning Summer 2021.
  
  • CJ 1350 - Introduction to Forensic Science


    3 credits

    This course covers investigations, including interrogation and interview, sources of information (electronic/traditional), crime scene procedure, introduction to identification, collection and preservation of evidence, laboratory techniques and case preparation. Students learn the functions of evidence collection, preservation and analysis.

    This listing includes updates which are effective beginning Summer 2021.
  
  • CJ 1355 - Crime Scene Processing


    3 credits

    This course covers the duties and responsibilities of a crime scene technician. It includes instruction on the proper collection, handling and storage of evidence, report writing and requests for examination, as well as laboratory methods.

    Campus: USU Eastern only



    This listing includes updates which are effective beginning Summer 2021.
  
  • CJ 1360 - Crime Scene Academy


    3 credits

    Students will receive extensive training to develop credible skills in the area of crime scene processing. These skills will include, but not limited to; analyzing crime scenes, learning proper investigation processes, managing crime scenes, documenting and preserving evidence at a crime scene, becoming familiar with the medical/legal aspects of crime scene investigation and becoming familiar with standardized national procedures. After successfully completing the course and passing the required test, students will be certified as a Crime Scene Technician by the Utah State Bureau of Forensic Services.

    Campus: USU Eastern only



  
  • CJ 1390 - Introduction to Policing


    3 credits

    This course analyzes the role of Police in society. The functions of police, including organizational structure, discretion, subculture and interactions with the community are areas covered in detail. The class will also deal with problems in changing technology, corruption, violence and use of force by police today.

  
  • CJ 1900 - Introduction to the Criminal Justice System


    .5 credit

    This is part of a series intended to introduce cadets to the Criminal Justice System and illustrate how each area is a part of the system. This block covers an introduction to the criminal system, Homeland Security, the US and Utah State Constitution, the Utah Criminal Code, and Utah court systems.

  
  • CJ 1901 - Police Ethics


    .5 credit

    This course introduces police ethics and illustrates the importance of ethical actions in law enforcement. It covers ethical standards, leadership and professionalism, ethical decision making, community relations, and POST certification and investigations.

  
  • CJ 1902 - Officer Fundamentals


    1 credit

    This course introduces cadets to the fundamentals of police work and illustrates their importance in law enforcement.  This block covers report writing, radio communications, media relations, Utah BCI and AFIS, hazardous materials response, Emergency medical response, first aid/CPR, and healthy lifestyles.

  
  • CJ 1903 - Basic Officer Criminal Law


    2 credits

    This course introduces cadets to basic criminal law fundamentals of police work and illustrates their importance in law enforcement.

  
  • CJ 1904 - Defensive Tactics I


    1 credit

    This course is intended to introduce the cadet to: Approaching subjects and position of interview, Natural Weapons, Low Profile/Terry Frisk, Cuffing, Take Downs; Standing Search, Cuffing, Take Downs; Kneeling Search, Cuffing, Take Downs; Prone Search, Cuffing; Weaponless defense Techniques I, Escort and Transport Position, Management and Recognition of Excited Delirium/Agitated Chaotic Event

  
  • CJ 1905 - Officer Patrol and Investigations


    2 credits

    This course introduces cadets to gang awareness, conflict resolution, written scenarios, basic interviews and interrogations, preliminary investigations, crime scene protection and search, collection and preservation of evidence, victimology, and drug recognition and familiarization.

  
  • CJ 1910 - Corrections Legal


    1 credit

    This is one of five courses in the corrections block that define legal aspects of working with inmates and their rights. It covers corrections law/rights, the Prison Rape Elimination Act, reasonable force, communications, and court demeanor and testifying.

    Prerequisite/Restriction: Successful completion of the SFO Block, which consists of the following:



    Corequisite:

    Campus: USU Eastern only



  
  • CJ 1912 - Inmate Behavior


    1 credit

    This is part 3 of 6 concurrent courses on Corrections System. It demonstrates methods to deal with inmate behavior and emergencies. This block covers suicide prevention, staff/offender interactions, understanding human behavior, abnormal behavior, critical incidents, and generational perspectives.

    Prerequisite/Restriction: Cadets must successfully complete all the courses required for the Specials Function Officer (SFO) certification before entering into the Basic Corrections Officer (BCO) block. This includes an SFO certification from another Utah POST academy or the following courses at Utah State University; CJ 1900 , CJ 1901 CJ 1902 CJ 1903 CJ 1904 , and CJ 1905  with an 80% or higher on the SFO block certification exam.

    Campus: USU Eastern only



  
  • CJ 1913 - Inmate Management


    .5 credit

    This is part 4 of 6 concurrent courses on the Corrections System. It introduces procedures for inmate management. This block covers offender supervision strategies, inmate discipline, street gangs/STG, gender responsive issues, grievance process, and inmate classification.

    Prerequisite/Restriction: Cadets must successfully complete all the courses required for the Specials Function Officer (SFO) certification before entering into the Basic Corrections Officer (BCO) block. This includes an SFO certification from another Utah POST academy or the following courses at Utah State University; CJ 1900 CJ 1901 CJ 1902 CJ 1903 CJ 1904 , and CJ 1905  with an 80% or higher on the SFO block certification exam.

    Campus: USU Eastern only



  
  • CJ 1914 - Inmate Control


    1 credit

    This is part 5 of 6 concurrent courses on the Corrections System. It introduces methods of inmate control. This block covers survival state of mind, search techniques, hostage negotiations, prison riots, institutional security, explosives materials, forced cell entry, critical response, chemical agents, and safety emergencies.

    Prerequisite/Restriction: Cadets must successfully complete all the courses required for the Specials Function Officer (SFO) certification before entering into the Basic Corrections Officer (BCO) block. This includes an SFO certification from another Utah POST academy or the following courses at Utah State University; CJ 1900 CJ 1901 CJ 1902 CJ 1903 CJ 1904 , and CJ 1905   with an 80% or higher on the SFO block certification exam.

    Campus: USU Eastern only



  
  • CJ 1915 - Physical Skills


    1.5 credits

    This is part 6 of 6 concurrent courses on the Corrections System. It reinforces the physical skills needed in a correctional setting.  This block covers pressure point control tactics, spontaneous knife defense, ground tactics, in-custody restraints, transportation of inmates, head counts and physical training.

    Prerequisite/Restriction: Cadets must successfully complete all the courses required for the Specials Function Officer (SFO) certification before entering into the Basic Corrections Officer (BCO) block. This includes an SFO certification from another Utah POST academy or the following courses at Utah State University; CJ 1900 CJ 1901 CJ 1902 CJ 1903 CJ 1904 , and CJ 1905  with an 80% or higher on the SFO block certification exam.

    Campus: USU Eastern only



  
  • CJ 1920 - Peace Officer Fundamentals


    1 credit

    This course is the first of seven concurrent courses training cadets in the aspects of crime investigations in various levels of police work. This block covers introductions to emergency vehicle operations, firearms handling, and scenario training.

    Prerequisite/Restriction:  

     

    Corequisite: CJ 1921 , CJ 1922 , CJ 1923 , CJ 1924 , CJ 1925 , CJ 1926  

  
  • CJ 1921 - Peace Office Criminal Law


    1 credit

    This course is the second of seven concurrent courses training cadets in the aspects of crime investigations in various levels of police work. This block covers report writing, court demeanor and testifying, civil disputes, traffic law, drive license, and law and hearing.

    Prerequisite/Restriction: CJ 1900 , CJ 1901 , CJ 1902 , CJ 1903 , CJ 1904 , and CJ 1905   all taken concurrently or Special Function Officer (SFO) certification from another Utah POST Academy

    Corequisite: CJ 1920 , CJ 1922 , CJ 1923 , CJ 1924 , CJ 1925 , CJ 1926  

  
  • CJ 1922 - Defensive Tactics II


    1.5 credits

    This course is the third of seven concurrent courses training cadets in the aspects of defensive tactics as it pertains to police work. This block covers part two of weaponless defense techniques, weapon protection and retention, ground tactics, and impact weapons.

    Prerequisite/Restriction:
    CJ 1900 , CJ 1901 , CJ 1902 , CJ 1903 , CJ 1904 , and CJ 1905  all taken concurrently or Special Function Officer (SFO) certification from another Utah POST Academy

  
  • CJ 1923 - Patrol Functions


    3 credits

    This course is fourth of seven concurrent courses training cadets in the aspects of patrol functions as involved in everyday police work. This block covers patrol concepts, immediate response tactics, critical incident casualty care, mental conditioning for combat, pedestrian/vehicle stop and approach, crimes in progress, hostage/barricaded subjects.

    Prerequisite/Restriction: CJ 1900 , CJ 1901 , CJ 1902 , CJ 1903 , CJ 1904 , and CJ 1905  all taken concurrently or Special Function Officer (SFO) certification from another Utah POST Academy

  
  • CJ 1924 - Police Investigations


    2.5 credits

    This course is the fifth of seven concurrent courses training cadets in the aspects of crime investigations in various levels of police work. This block covers sex crimes investigation, dead body investigation, follow-up investigations, child abuse and neglect, traffic accident investigation, domestic violence, cohabitant abuse procedures, and identity 

    Prerequisite/Restriction: CJ 1900 , CJ 1901 , CJ 1902 , CJ 1903 , CJ 1904 , and CJ 1905  all taken concurrently or Special Function Officer (SFO) certification from another Utah POST Academy

  
  • CJ 1925 - Intoxilyzer/DUI Training


    1 credit

    This course is the sixth of seven concurrent courses training cadets in the aspects of crime investigations in various levels of police work. This block covers recognizing and handling drugs and narcotics, intoxilyzer operation and certification, DUI and standardized field sobriety testing.

    Prerequisite/Restriction: CJ 1900 , CJ 1901 , CJ 1902 , CJ 1903 , CJ 1904 , and CJ 1905  all taken concurrently, or Special Function Officer (SFO) certification from another Utah POST Academy

  
  • CJ 1926 - Firearms


    1 credit

    This course is the seventh of seven concurrent courses training cadets in the aspects of crime investigations in various levels of police work. This block covers handgun handling and safe operation, firearms range day shooting, and firearms night shooting.

    Prerequisite/Restriction: CJ 1900 , CJ 1901 , CJ 1902 , CJ 1903 , CJ 1904 , CJ 1905  all taken concurrently or Special Function Officer (SFO) certification from another Utah POST Academy

  
  • CJ 2110 - Security


    3 credits

    This course examines the components of private and public security. It covers physical, internal and external security, as well as the different concepts for securing both private and public institutions.

    This listing includes updates which are effective beginning Summer 2021.
  
  • CJ 2330 - Juvenile Justice


    3 credits

    This course covers the origin, philosophy, and development of the juvenile justice system. Emphasis is placed on the nature and origins of juvenile law and the guiding principles that drive the system.

    This listing includes updates which are effective beginning Summer 2021.
  
  • CJ 2340 - Survey of Criminal Procedure


    3 credits

    This course introduces students to the historical development and principles of criminal procedure. It begins with arrest and follows the court through to last appeal. Students learn to understand the procedural impact of the United States Constitution on the rights of accused persons.

    This listing includes updates which are effective beginning Summer 2021.
 

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